Identification of Bacterial Cells by Cellular Light Scattering.
Maggie Bohm, Freshman – Biology/Chemistry Kaylagh Hollen, Graduated – Biology
Nicole Shoup, Graduate Student – Biology Anthony Treloar, Senior – Clinical Life Sciences
Zachary Jodin, Junior – Biology/Physiology
Dr. David Haavig, Chief Scientist – Micro Imaging Technologies
Faculty Advisor: Dr. Josh Sharp – Biology
Poster
There are many situations, such as in the food industry and clinical settings, where speedy identification of bacteria is crucial. This study tests the quickness and accuracy of an instrument and data analysis method for identifying bacteria suspended in water based on laser light diffraction patterns and measurements.
Isolates were tested for identification from both the inclusive target set, Staphylococcus spp., and the exclusive set, non–Staphylococcus spp. Both sets of isolates, the Staphylococcus spp. and the non–Staphylococcus spp. were grown on Sheep Blood Agar, Tryptic Soy Agar, Brain Heart Infusion Agar, or Luria–Bertani Agar, and were identified based on how each species of cell scatters light. Staphylococcus spp. grown on solid media were correctly identified greater than 92% of the time.
To determine if the system could also identify bacteria grown in liquid culture, six different Staphylococcus spp. and six different non–Staphylococcus spp. were grown in Tryptic Soy Broth, Brain Heart Infusion Broth, or Luria–Bertani Broth. This system accurately identified all target Staphylococcus spp. tested. No misidentifications occurred from cells grown in liquid culture.
A single–blind identification experiment was also performed on human clinical isolates obtained from the Upper Peninsula Health System. Ninety blind– coded clinical bacterial isolates on Sheep Blood Agar were tested to determine if they were Staphylococcus spp.
All of the Staphylococcus spp. were accurately identified, and no misidentifications occurred.
-- This study demonstrates a novel system that can rapidly and accurately identify bacteria from pure culture based on cellular light scatter properties.
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Listeria Rapid Identification with MIT Laser Technology. - Zach Jodoin, Junior – Biology Faculty Advisor: Dr. Josh Sharp – Biology Oral Presentation – Jamrich 1322 at 9:30 a.m.
In America alone, food–borne pathogens cause approximately 3,000 deaths and cost the economy more than $15 billion. Of all the food borne pathogens, Listeria monocytogenes, is one of the most troublesome. Listeria targets the most vulnerable members of society resulting in more than 260 deaths of elders, infants, and pregnant women.
Current methods used to detect
and prevent Listeria outbreaks are both expensive and extremely slow leading to misidentification and, consequently, extremely dangerous and expensive outbreaks. With the use of Micro Identification Technologies MIT1000 laser light scattering technology, Dynabead antibody microbead use, and selective media,
-- we optimized an assay that drastically reduced the amount of time and resources required to accurately identify Listeria from a liquid culture.
This new assay has the potential to save hundreds of lives and millions of dollars each year, while at the same time, holds significant potential for rapidly identifying various other bacterial species.
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(see the presentations about the MIT-1000, in person at NMU)
BETTER HURRY!!!!!!!!!!
ASK T.P. !!!!!!!!!!!!!!!!!!!!!!!!!
MMTC ROCKS!!!!!!!!!!!!
IF IT SAYS, Dr. David Haavig, Chief Scientist – Micro Imaging Technologies ...
IT MEANS THE "COMPANY" IS STILL IN OPERATION AS OF 'THIS MOMENT IN TIME'!!!!!!!!!!!!!!!!!!!!
